間接遺傳 的英文怎麼說

中文拼音 [jiānjiēyízhuàn]
間接遺傳 英文
indirect heredity
  • 間 : 間Ⅰ名詞1 （中間） between; among 2 （一定的空間或時間里） with a definite time or space 3 （一間...
  • 接 : Ⅰ動詞1 （靠近;接觸） come into contact with; come close to 2 （連接; 使連接） connect; join; put ...
  • 遺 : 遺動詞[書面語] （贈與） offer as a gift; make a present of sth : 遺之千金 present sb with a gener...
  • 傳 : 傳名詞1 （解釋經文的著作） commentaries on classics 2 （傳記） biography 3 （敘述歷史故事的作品）...
  • 間接 : indirect; secondhand
  • 遺傳 : [生物學] heredity; hereditary; inheritance; inherit
  1. Some of these events may appear to recapitulate features of primitive genomes, providing indirect clues as to how early genetic systems could have functioned

    隔代遺傳中的一些事件可能會再次反映出原始基因組的特徵，從而為早期遺傳學系統是如何擁有功能提供間接的線索。
  2. As for the genetic distances, zhejiang population is closer to canada population and their genetic distance is 0. 0319 ; mexico bay scallop population and american f2 population are closer and their genetic distance is 0. 0368

    從遺傳距離分析，浙江群體與加拿大群體較為接近，兩者間的遺傳距離為0 . 0319 ，而墨西哥灣扇貝群體與美國二代群體較為接近，兩者間的遺傳距離為0 . 0368 。
  3. The morphological diagnostic characters for many mature and early instar larvae are still lacking in china. partial sequences of the mitochondrial cytochrome oxydase i and ii and a transfor rna ( co i co ii and trna ) gene of the adults and larvae from caddisflies were. lepidostomaflavum, l. fui, l. arcuatum, paraphlegopteryx morsei, apsilochorema unculatum and apsilochorema hwangi, and the larval and adult stages of these species were sequenced and associated

    採用dnastarpackage中的editseq軟體進行序列編輯、 orf查找；採用clustalx軟體進行序列比對（ alignment ） ；比對結果輸入mega2 . 1軟體計算各樣品間的遺傳距離，並基於kjmura2 - parameter模型，用鄰接法（ neighbor - jojning ， nj ）構建系統發生樹，通過自展（ bootstrap1000次）檢驗獲得系統樹分支的置信度。
  4. Sinense y. x. lin using allzyome marker. the experiment employ six enzymes : est, mdh, fdh, gdh, sod and acp, using their polymtic locus to analyse the allele gene frequency, the number of the effective allele gene

    採用est 、 mdh 、 fdh 、 sod和acp等5種酶系統，分析荷葉鐵線蕨的等位酶遺傳變異，用間接法估算荷葉鐵線蕨交配系統的特徵參數? ?異交率t 。
  5. Based on these graphic models an efficient routing algorithm, called ieacs ( intensified evolutionary ant colony system ) algorithm is suggested. ieacs merges the acs ( ant colony system ) and ga ( genetic algorithm ), thus features both the mechanism of cooperative learning of acs and the information - exchange capability of ga, is presented in this thesis. in case of asymmetric grid graph and grid - off graph

    然後，介紹了一種兼具生物仿生特性的蟻群和遺傳演算法特點的進化蟻群演算法，並對該演算法模仿蟻群的協同學習機制，以及遺傳演算法的優秀群體中的個體之間信息交換的策略進行了闡述，接著探討了該演算法在總體布線和斯坦納樹問題中的應用。
  6. Taking load uncertainties, infeasibility problem and multiple objection of the reactive power optimization in the radial distribution system into consideration, loads are modeled as fuzzy interval numbers. fuzzy power flow is proposed based on fuzzy interval load for the more practical membership function of line losses rate and maximal voltages offset. this thesis presents multiple objection model of the reactive power optimization considering uncertainties using the fuzzy set theory

    對配電網電壓無功優化問題中負荷的非概率性的不確定性問題、多目標問題、約束不可行性問題進行了研究，用模糊區間來描述實際的負荷情況，並用負荷的模糊區間值計算配電網的潮流，得到有功功率損耗和電壓的模糊區間值，使網損率和節點電壓最大偏移量的隸屬函數更接近實際情況；將改進遺傳演算法與模糊集理論相結合，通過求解多目標函數和約束條件的模糊集合的交集，得出網損率和節點電壓最大偏移量最小的最優運行狀態。
  7. An indirect self - adaptive fuzzy - neural network controller ( fnnc ) has been proposed with its parameters and the structure tuned simultaneously by ga in virtue of the powerful optimization property of ga. the structure of the controller is based on the radical basis function ( rbf ) neural network with gaussian membership functions. the performance of the proposed fnnc is compared with a conventional fuzzy - pid controller and the simulation results show that the fnnc presents encouraging advantages

    針對神經網路採用一維反向傳播訓練演算法速度較慢且易於陷入局部極小點的不足，設計了一種間接自校正模糊神經網路控制系統，利用遺傳演算法（ ca ）對隸屬度函數的結構和參數進行優化，模擬比較表明該控制比模糊pid控制具有更優的性能。
  8. At first, in order to prevent the premature convergence of genetic algorithm effectively, the author brings forward a novel dyadic floating - point supplementary mutation operator. then, simulating the natural evolution, the author presents a novel topology, unoriented - connected topology, for parallel genetic algorithm. in the end, an interval decomposed optimization method is brought forward for ipga, which can improve the optimization performance of the algorithm

    為提高演算法的性能，作者對遺傳演算法進行三種改進：首先，為克服遺傳演算法早熟收斂，作者提出一種新的二元浮點補碼變異運算元；其次，模擬生物自然進化模式，為并行遺傳演算法提出了一個新的并行拓撲結構- - - -無定向拓撲連接；最後，作者提出一種區間分解優化思想，來提高對最優解的搜索能力。
  9. Combining with the time difference value of the pressure wave getting to both ends of the pipeline, adopts the genetic arithmetic to search the leak site of the pipeline

    結合管道兩端接收到負壓力波的時間差，採用遺傳演算法搜索管道內的泄漏點。
  10. Based on the discussions of the conventional and recent methods of short term load forecasting such as time series, multiple regression approaches and artificial intelligence technologies, this paper presents a hybrid short term forecasting model which combines the artificial neural network ( ann ) and genetic algorithm ( ga ). in order to improve the convergence speed and precision of the back - propagation ( bp ), a new improved algorithm - the adapted learning algorithm based on quasi - newton method is given

    本文首先分析比較了電力系統短期負荷預測的傳統方法時間序列法和回歸方法以及最近的專家系統和神經網路技術的優點和不足，然後針對人工神經網路bp演算法的不足對其進行了改進，採用了基於擬牛頓的自適應演算法，它提高了網路學習效率，具有較快的收斂速度和較高的精度。接著提出了改進的遺傳演算法來改善神經網路的局部收斂性。
  11. The direct optimal model of multi - objective mixed discrete variables for lager - scale water supply system was established, by replacing complicated network hydraulic equation with nodal pressures macroscopic model and relationship model between pump stations flow and head in water supply systems without tanks or towers, genetic algorithm was developed to solve the direct optimal model

    以測壓點壓力宏觀模型、水源供水量和水源供水水頭之間的關系模型替代復雜的管網水力平衡方程，建立了大型供水系統的多目標混合離散變量的直接優化調度模型。在沒有水池和水塔的供水系統中，利用遺傳演算法對直接優化調度模型進行求解。
  12. The number of the hidden layers of mul - tilayer perceptrons ( mlps ) is analyzed, and three - layer perceptrons neural network is adopted ; by analyzing the mechanism of the neural cells in hidden layer, a method for combining genetic algorithm and bp algorithm to optimize the design of the neural networks is presented, and it solves the defects of getting into infinitesimal locally and low convergence efficiently, it can also solve the problem that it can usually obtain nearly global optimization solution within shorter time through using genetic algorithm method lonely ; several examples validate that this algorithm can simplify the neural networks effectively, and it makes the neural networks solve the practical problem of fault diagnosis more effectively

    對多層感知器隱層數進行了分析，確定採用三層感知器神經網路;通過對隱層神經元作用機理的分析，引入了遺傳演算法與bp演算法相結合以優化設計神經網路的方法，有效地解決了bp演算法收斂速度慢和易陷入局部極小的弱點，還可以解決單獨利用遺傳演算法往往只能在短時間內尋找到接近全局最優的近優解的問題;通過實例驗證了這種演算法能夠有效地簡化神經網路，使神經網路更加有效地解決實際的故障診斷問題。
  13. Ga is less prone to converge to a local optimum even when the initial guess is far away from the exact solution. in recent years, a growing number of researchers in the ga community turn to the study of real - coded genetic algorithm ( rga ) for its simplicity and efficiency, and the reason that a chromosome can be directly represented by real number

    然後引入全局優化的搜索方法?遺傳演算法，由於實數遺傳演算法直接用實數表示遺傳個體，而微波成像演算法就是要得出目標的形狀函數，形狀函數的系數既為待求的變量，具有連續搜索空間，因此本文直接採用實數遺傳演算法。
  14. By the coding, all first - order rules needed to explore are mapped into the points in genetic space ; ( 2 ) the fitness function, which evaluates the quality of first - order rule. the variation of fir

    （ 2 ）評判一階規則優劣的適應度函數，一階規則適應度的相應變化形成了遺傳空間高低起伏的地貌特徵； （ 3 ）由交叉和變異運算元決定的規則間的鄰接關系，描述了遺傳空間地貌的溝壑或橋梁。
  15. The disease, low quality of embryo, semen contamination, breeding out of time, low quality of recipient, not synchronous estrus between donor and recipient, antiquated preserve to embryo, hereditary unsoundness, accidental injury by medicament, vaccination, feeding and management to depart from science, immunological reaction and multiple embryo in uterus are the more important factors

    這些因子主要包括疾病、胚胎質量差、精液污染、不適時配種、受體羊質量差、供受體羊發情不同步、胚胎保存時間長、遺傳缺陷、誤用藥物、接種疫苗、飼管不科學、免疫反應、子宮內多胚等。
  16. We propose a combined slf method to extrapolate feeder load growth by using feeder ' s history peak value and the merits of gray theory and genetic programming ( gp ). at first, we adopt load transfer coupling method to correct load history and its error for load transfer. secondly, we get the real power - supply area by using layer overlap analysis, based on practical feeder path and distribution gis map layer

    將gis的空間信息分析功能應用於配網空間負荷預測的研究：綜合利用灰色理論及遺傳規劃（ geneticprogramming ， gp ）的優點，提出了一種根據饋線的歷史峰值負荷進行外推的組合slf法：首先採用負荷耦合回歸法來修正負荷歷史，消除由於負荷轉移引起的誤差；然後根據實際饋線路徑和配網gis圖形分層，運用圖層疊加分析得到饋線的實際供電范圍；接著採用灰色關聯度聚類方法對饋線負荷增長曲線進行聚類分析；最後採用gp來對灰色聚類結果進行符號回歸，分別得到每一類曲線的最佳擬合曲線形式。
  17. First, the basic theory of the competitiveness is analyzed, evaluating indexes which conclude relative and absolute indexes basic on the last literatures are set up. second, because the data are too many and computing time is too long, the competitiveness of science and technology of 30 areas are clustered using fuzzy clustering model, the areas of the whole nation are clustered several kinds and we can draw some conclusions of same kind. evaluating the competitiveness using single model can produce white noise, so combinational models which concluding neural network, fuzzy theory and genetic algorithm are brought forward to evaluate the competitiveness of areas which are in the same kind with fujian province in the test

    本文首先分析科技競爭力的基本理論，並根據以往研究科技競爭力文獻，建立包含絕對指標和相對指標的評價科技競爭力評價指標體系，其次，針對評價福建省科技競爭力在全國范圍內的排名情況數據較多，計算時間較長的具體情況，利用模糊神經網路模型對全國30個省市自治區科技競爭力水平進行聚類分析，將科技競爭力水平接近的地區聚為一類，得出科技競爭力水平相近地區情況，而後，針對已有文獻科技競爭力評價只是利用單一模型可能產生噪聲，影響評價結果，並且主觀性較強的缺點，本文將神經網路、模糊數學、遺傳演算法等智能演算法組合，利用組合評價模型對福建省和與福建省同在一類的其它地區的科技競爭力水平進行橫向、縱向評價，得出福建省在全國范圍內的科技競爭力水平排名。
  18. Man was landing on the moon ; huge computers made thousands of calculations a second ; the basic genetic code had been broken ; major infectious diseases had been defeated through antibiotics and vaccination ; concorde was flying at twice the speed of sound and for the first time we could watch colour tv transmitted live from around the world

    人類曾經登上了月球，巨型計算機在一秒的時間內完成成千上萬的計算、基本的遺傳密碼得到破解、通過抗生素和免疫接種使傳染性疾病得到控制、協和式飛機也曾以兩倍于音速飛行，我們也第一次能看到全球實況直播的彩色電視節目。
  19. Thirdly, give the analysis of the current status of the lack of data in the space debris environment modeling aera, and propose the plan to carry on the search of the modeling data, and use the genetic algorithms to solve the search problem

    接下來闡述了對空間碎片軌道參數分佈進行研究的原理，此原理轉化為求解優化問題的數學模型，提出採用遺傳演算法解決優化問題。 （ 4 ）進一步講述利用遺傳演算法和編制模式實現求解的過程。
  20. Our dna genetic programming is set to remember our connection to this twin aspect - to understand it as a soul connection to the original source and to seek balance and reunion at the end of this cycle called time

    我們的dna遺傳基因是按照能回憶起與雙生子之間的聯系設置的-了解它了就如同一個靈魂連接到最初的來源和在這個稱作時間循環結束的時刻去找尋平衡以及團圓。
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